Women, Business and the Law 2026: legal-equality scores by economy
Value-added panel of the World Bank's Women, Business and the Law 2026 scores (keyless World Bank API v2, CC BY 4.0): one row per economy for 2025 with the three pillar indices — Legal Framework, Supportive Framework, Enforcement Perceptions — and the 10 topic x 3 pillar scores (Mobility, Work, Pay, Marriage, Parenthood, Childcare, Entrepreneurship, Assets, Pension, Safety), plus derived implementation-gap signals (law on the books vs enforcement in practice), pillar ranks and weakest/strongest topics. The legal-equality layer for gender, governance and ESG/country-risk models; joins on economy_code with the catalog's other World Bank panels.
- Rows
- 189
- Columns
- 46
- Source cadence
- Yearly
- Last refreshed
- Oct 3, 2026
- Theme
- economics
| Column | Type | Description |
|---|---|---|
| economy_code | string | ISO 3166-1 alpha-3 economy code (World Bank API field countryiso3code). |
| economy_name | string | Economy name as published by the World Bank API. |
| region | string | World Bank region (API field region.value). |
| income_group | string | World Bank income group (API field incomeLevel.value). |
| year | integer | Reference year of the WBL 2026 scores (2025). |
| law_index | float | WBL Legal Framework Index (scale 0-100): mean of the 10 topic Legal Framework scores. (unit: 0-100) |
| supportive_index | float | WBL Supportive Framework Index (scale 0-100): mean of the 10 topic Supportive Framework scores. (unit: 0-100) |
| enforcement_index | float | WBL Enforcement Perceptions Index (scale 0-100): mean of the 10 topic Enforcement Perceptions scores. (unit: 0-100) |
| mobility_law | float | WBL Legal Framework, Mobility: score (scale 0-100). (unit: 0-100) |
| mobility_supportive | float | WBL Supportive Framework, Mobility: score (scale 0-100). (unit: 0-100) |
| mobility_enforcement | float | WBL Enforcement Perceptions, Mobility: score (scale 0-100). (unit: 0-100) |
| work_law | float | WBL Legal Framework, Work: score (scale 0-100). (unit: 0-100) |
| work_supportive | float | WBL Supportive Framework, Work: score (scale 0-100). (unit: 0-100) |
| work_enforcement | float | WBL Enforcement Perceptions, Work: score (scale 0-100). (unit: 0-100) |
| pay_law | float | WBL Legal Framework, Pay: score (scale 0-100). (unit: 0-100) |
| pay_supportive | float | WBL Supportive Framework, Pay: score (scale 0-100). (unit: 0-100) |
| pay_enforcement | float | WBL Enforcement Perceptions, Pay: score (scale 0-100). (unit: 0-100) |
| marriage_law | float | WBL Legal Framework, Marriage: score (scale 0-100). (unit: 0-100) |
| marriage_supportive | float | WBL Supportive Framework, Marriage: score (scale 0-100). (unit: 0-100) |
| marriage_enforcement | float | WBL Enforcement Perceptions, Marriage: score (scale 0-100). (unit: 0-100) |
| parenthood_law | float | WBL Legal Framework, Parenthood: score (scale 0-100). (unit: 0-100) |
| parenthood_supportive | float | WBL Supportive Framework, Parenthood: score (scale 0-100). (unit: 0-100) |
| parenthood_enforcement | float | WBL Enforcement Perceptions, Parenthood: score (scale 0-100). (unit: 0-100) |
| childcare_law | float | WBL Legal Framework, Childcare: score (scale 0-100). (unit: 0-100) |
| childcare_supportive | float | WBL Supportive Framework, Childcare: score (scale 0-100). (unit: 0-100) |
| childcare_enforcement | float | WBL Enforcement Perceptions, Childcare: score (scale 0-100). (unit: 0-100) |
| entrepreneurship_law | float | WBL Legal Framework, Entrepreneurship: score (scale 0-100). (unit: 0-100) |
| entrepreneurship_supportive | float | WBL Supportive Framework, Entrepreneurship: score (scale 0-100). (unit: 0-100) |
| entrepreneurship_enforcement | float | WBL Enforcement Perceptions, Entrepreneurship: score (scale 0-100). (unit: 0-100) |
| assets_law | float | WBL Legal Framework, Assets: score (scale 0-100). (unit: 0-100) |
| assets_supportive | float | WBL Supportive Framework, Assets: score (scale 0-100). (unit: 0-100) |
| assets_enforcement | float | WBL Enforcement Perceptions, Assets: score (scale 0-100). (unit: 0-100) |
| pension_law | float | WBL Legal Framework, Pension: score (scale 0-100). (unit: 0-100) |
| pension_supportive | float | WBL Supportive Framework, Pension: score (scale 0-100). (unit: 0-100) |
| pension_enforcement | float | WBL Enforcement Perceptions, Pension: score (scale 0-100). (unit: 0-100) |
| safety_law | float | WBL Legal Framework, Safety: score (scale 0-100). (unit: 0-100) |
| safety_supportive | float | WBL Supportive Framework, Safety: score (scale 0-100). (unit: 0-100) |
| safety_enforcement | float | WBL Enforcement Perceptions, Safety: score (scale 0-100). (unit: 0-100) |
| implementation_gap | float | Law on the books vs practice: law_index minus enforcement_index (pp). Positive = legal rights exceed perceived enforcement. (unit: percentage points) |
| support_gap | float | law_index minus supportive_index (pp). (unit: percentage points) |
| law_rank | integer | Rank of law_index across economies (1 = highest). (unit: rank) |
| enforcement_rank | integer | Rank of enforcement_index across economies (1 = highest). (unit: rank) |
| weakest_topic_law | string | Topic with the lowest Legal Framework score for the economy. |
| strongest_topic_law | string | Topic with the highest Legal Framework score for the economy. |
| pillars_spread | float | Max minus min of the three pillar indices. (unit: 0-100) |
| row_hash | string | Deterministic 12-hex row identity hash (economy_code|year). |
First 10 sample rows — a preview, not the complete dataset.
| economy_code | economy_name | region | income_group | year | law_index | supportive_index | enforcement_index | mobility_law | mobility_supportive | mobility_enforcement | work_law | work_supportive | work_enforcement | pay_law | pay_supportive | pay_enforcement | marriage_law | marriage_supportive | marriage_enforcement | parenthood_law | parenthood_supportive | parenthood_enforcement | childcare_law | childcare_supportive | childcare_enforcement | entrepreneurship_law | entrepreneurship_supportive | entrepreneurship_enforcement | assets_law | assets_supportive | assets_enforcement | pension_law | pension_supportive | pension_enforcement | safety_law | safety_supportive | safety_enforcement | implementation_gap | support_gap | law_rank | enforcement_rank | weakest_topic_law | strongest_topic_law | pillars_spread | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AFG | Afghanistan | Middle East, North Africa, Afghanistan & Pakistan | Low income | 2,025 | 5 | 3 | 13.23 | 25 | 0 | 45.83 | 0 | 0 | 6.25 | 0 | 0 | 37.5 | 0 | 25 | 21.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 8.33 | 25 | 0 | 12.5 | 0 | 0 | 0 | -8.23 | 2 | 189 | 177 | work | mobility | 10.23 | 31fc2b3933e8 |
| AGO | Angola | Sub-Saharan Africa | Lower middle income | 2,025 | 71.6 | 35 | 55.08 | 100 | 75 | 100 | 50 | 0 | 37.5 | 75 | 50 | 47.63 | 100 | 62.5 | 96.88 | 74.75 | 50 | 52 | 75 | 0 | 40.63 | 50 | 12.5 | 40.63 | 100 | 37.5 | 84.38 | 60 | 12.5 | 36.25 | 31.25 | 50 | 14.88 | 16.52 | 36.6 | 87 | 79 | safety | mobility | 36.6 | 3b7fa0490870 |
| ALB | Albania | Europe & Central Asia | Upper middle income | 2,025 | 78.1 | 60.68 | 62.6 | 100 | 75 | 100 | 87.5 | 50 | 53.13 | 100 | 12.5 | 68.75 | 100 | 100 | 100 | 80.25 | 50 | 63.81 | 25 | 25 | 6.25 | 50 | 77.5 | 50 | 100 | 75 | 93.75 | 75.75 | 50 | 52.81 | 62.5 | 91.75 | 37.5 | 15.5 | 17.42 | 65 | 57 | childcare | mobility | 17.42 | 563a8087a696 |
| ARE | United Arab Emirates | Middle East, North Africa, Afghanistan & Pakistan | High income | 2,025 | 53.58 | 36.83 | — | 37.5 | 50 | — | 62.5 | 16.75 | — | 100 | 37.5 | — | 25 | 100 | — | 54.5 | 0 | — | 41.75 | 25 | — | 62.5 | 35 | — | 25 | 12.5 | — | 83.25 | 50 | — | 43.75 | 41.5 | — | — | 16.75 | 140 | — | marriage | pay | 16.75 | 913636b9ee46 |
| ARG | Argentina | Latin America & Caribbean | Upper middle income | 2,025 | 80.78 | 50.3 | 66.71 | 100 | 75 | 100 | 100 | 25 | 62.5 | 75 | 50 | 59.22 | 100 | 50 | 100 | 76.5 | 25 | 69.38 | 66.75 | 62.5 | 39.63 | 50 | 67.5 | 37.5 | 100 | 12.5 | 93.75 | 70.75 | 75 | 58.25 | 68.75 | 60.5 | 46.88 | 14.07 | 30.48 | 54 | 39 | entrepreneurship | mobility | 30.48 | 5bbdbf85e255 |
| ARM | Armenia | Europe & Central Asia | Upper middle income | 2,025 | 75 | 44.83 | 60.16 | 100 | 75 | 93.75 | 87.5 | 25 | 57.81 | 75 | 37.5 | 56.25 | 100 | 50 | 87.5 | 87.5 | 50 | 65.63 | 50 | 0 | 25 | 25 | 52.5 | 25 | 100 | 37.5 | 100 | 100 | 37.5 | 78.13 | 25 | 83.25 | 12.5 | 14.84 | 30.17 | 76 | 63 | entrepreneurship | mobility | 30.17 | 42c7e02f7a8f |
| ATG | Antigua and Barbuda | Latin America & Caribbean | High income | 2,025 | 56.03 | 33.75 | 50.8 | 75 | 75 | 100 | 58.25 | 0 | 39.56 | 75 | 25 | 75 | 100 | 87.5 | 100 | 37.5 | 25 | 37.5 | 25 | 25 | 12.5 | 25 | 0 | 25 | 100 | 12.5 | 84.38 | 58.25 | 50 | 33.25 | 6.25 | 37.5 | 0.81 | 5.23 | 22.28 | 135 | 100 | safety | marriage | 22.28 | f792c7238a3a |
| AUS | Australia | East Asia & Pacific | High income | 2,025 | 91.88 | 78.68 | 82.22 | 100 | 100 | 100 | 100 | 100 | 68.75 | 100 | 75 | 87.5 | 100 | 87.5 | 100 | 100 | 25 | 93.75 | 100 | 100 | 81.25 | 75 | 57.5 | 68.75 | 100 | 62.5 | 100 | 75 | 87.5 | 66.67 | 68.75 | 91.75 | 55.5 | 9.66 | 13.2 | 7 | 7 | safety | mobility | 13.2 | 193c31c77ce4 |
| AUT | Austria | Europe & Central Asia | High income | 2,025 | 90.88 | 76.53 | 78.24 | 100 | 100 | 100 | 100 | 75 | 83.33 | 100 | 100 | 81.25 | 100 | 87.5 | 100 | 100 | 75 | 87.5 | 100 | 87.5 | 59.38 | 87.5 | 67.5 | 81.25 | 100 | 37.5 | 100 | 90 | 100 | 66.25 | 31.25 | 35.25 | 23.44 | 12.64 | 14.35 | 12 | 13 | safety | mobility | 14.35 | e0f3331416db |
| AZE | Azerbaijan | Europe & Central Asia | Upper middle income | 2,025 | 72.18 | 47.58 | 59.12 | 100 | 75 | 100 | 75 | 25 | 50 | 50 | 50 | 56.25 | 100 | 50 | 93.75 | 75 | 25 | 68.75 | 75 | 50 | 18.75 | 50 | 55 | 50 | 100 | 37.5 | 100 | 65.5 | 50 | 32.58 | 31.25 | 58.25 | 21.13 | 13.06 | 24.6 | 85 | 69 | safety | mobility | 24.6 | 9ffbfabfdb0c |
- Current
20261003T082540Z-fc924f9d8232 · sha256 fc924f9d8232…
189 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/wb_wbl_intel/wbl_legal_equality_2025" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/wb_wbl_intel/wbl_legal_equality_2025").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/wb_wbl_intel/wbl_legal_equality_2025
Tip: fetch /llms.txt for the full machine-readable catalog.
Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.
Cite this snapshot
Pinned to snapshot 20261003T082540Z-fc924f9d8232 and its content hash, so readers get exactly the data you used.
World Bank Women, Business and the Law intelligence. (2026). Women, Business and the Law 2026: legal-equality scores by economy [Data set, snapshot 20261003T082540Z-fc924f9d8232, sha256 fc924f9d8232]. Datazimuts. Retrieved 2026-10-04, from https://datazimuts.com/en/datasets/wb_wbl_intel/wbl_legal_equality_2025?snapshot=20261003T082540Z-fc924f9d8232
@misc{dz_wb_wbl_intel_wbl_legal_equality_2025_fc924f9d,
title = {{Women, Business and the Law 2026: legal-equality scores by economy}},
author = {{World Bank Women, Business and the Law intelligence}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/wb_wbl_intel/wbl_legal_equality_2025?snapshot=20261003T082540Z-fc924f9d8232}},
note = {Snapshot 20261003T082540Z-fc924f9d8232, sha256 fc924f9d8232f3f8c41e6a50518ddcfb29e8460b8bee8fbaab83fb69174cfba1; accessed 2026-10-04}
}Embed a table or a chart
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